---
license: llama3
language:
- en
tags:
- finance
- mlx
- mlx-my-repo
datasets:
- Open-Orca/OpenOrca
- GAIR/lima
- WizardLM/WizardLM_evol_instruct_V2_196k
base_model: instruction-pretrain/finance-Llama3-8B
---

# codingmavin/finance-Llama3-8B-mlx-6Bit

The Model [codingmavin/finance-Llama3-8B-mlx-6Bit](https://huggingface.co/codingmavin/finance-Llama3-8B-mlx-6Bit) was converted to MLX format from [instruction-pretrain/finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B) using mlx-lm version **0.22.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("codingmavin/finance-Llama3-8B-mlx-6Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```